Arun Seetharaman

According to our database, Arun Seetharaman authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, Wei Shao, Leo C. Chen, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Medical Image Anal., 2022

2021

Bridging the gap between prostate radiology and pathology through machine learning.

Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon John Christoph Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

CoRR, 2021

ProGNet: prostate gland segmentation on MRI with deep learning.

Simon John Christoph Soerensen, Richard E. Fan, Arun Seetharaman, Leo C. Chen, Wei Shao, Indrani Bhattacharya, Michael Borre, Benjamin Chung, Katherine J. To'o, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection.

Thomas DeSilvio, Stefania Moroianu, Indrani Bhattacharya, Arun Seetharaman, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration.

Amir Bolous, Arun Seetharaman, Indrani Bhattacharya, Richard E. Fan, Simon John Christoph Soerensen, Leo C. Chen, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.

Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020